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-  2015 

三种T波终点检测算法的对比研究——小波变换法、累积积分面积法及梯形面积法

DOI: doi:10.7507/1001-5515.20150210

Keywords: T波终点, 小波变换, 累积积分面积法, 梯形面积法

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Abstract:

本研究通过选取QT数据库中20例共3 569个心拍的心电数据, 对三种不单纯依赖阈值的T波终点检测算法(小波法、累积积分面积法、梯形面积法)的检测性能进行对比分析, 评估出最适宜于临床检测的T波终点检测算法。首先, 基于小波变换的多尺度分析方法定位QRS波群及T波; 然后, 将T波区分为四种形态(正向、反向、双向:+-/-+), 分别采用三种算法用于T波终点的检测; 最后, 文中提出一种基于T波形态的自适应选择T波终点检测算法, 并对其进行实验验证。结果表明:该自适应选择方法相比单一的T波终点检测算法, 有着更好的检测性能, 其灵敏度、阳性预测度和时间差分别为98.93%、99.11%和(-2.33±19.70)ms。因此, 根据T波形态自适应选择T波终点的检测算法有助于提高T波终点的检测效率

References

[1]  1. MADEIRO J P, NICOLSON W B, CORTEZ P C, et al. New approach for T-wave peak detection and T-wave end location in 12-lead paced ECG signals based on a mathematical model[J]. Med Eng Phys, 2013, 35(8):1105-1115.
[2]  2. HAYDEN G E, BRADY W J, PERRON A D, et al. Electrocardiographic T-wave inversion:differential diagnosis in the chest pain patient[J]. Am J Emerg Med, 2002, 20(3):252-262.
[3]  3. 孙中伟, 彭屹.QT间期的检测与分析[J].中国生物医学工程学报, 2009, 28(1):121-127.
[4]  4. ZHANG Qinghua, MANRIQUEZ A I, MéDIGUE C, et al. An algorithm for robust and efficient location of T-wave ends in electrocardiograms[J]. IEEE Trans Biomed Eng, 2006, 53(12 Pt 1):2544-2552.
[5]  5. VáZQUEZ-SEISDEDOS C R, NETO J E, MARA?óN REYES E J, et al. New approach for T-wave end detection on electrocardiogram:Performance in noisy conditions[J]. Biomed Eng OnLine, 2011, 10:77.
[6]  7. LI C, ZHENG C G, TAI C F. Detection of ECG characteristic points using wavelet transforms[J]. IEEE Trans Biomed Eng, 1995, 42(1):21-28.
[7]  9. SINGH Y N, GUPTA P. An efficient and robust technique of T wave delineation in electrocardiogram[C]//Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing. Porto, Portugal:2009:146-154.
[8]  10. SAINI I, SINGH D, KHOSLA A. Delineation of ECG wave components using K-Nearest neighbor (KNN) algorithm:ECG wave delineation using KNN[C]//2013 Tenth International Conference on Information Technology:New Generations (ITNG). Las Vegas, NV:2013:712-717.
[9]  11. 万相奎, 张军.基于小波神经网络的心电信号滤波研究[J].生物医学工程学杂志, 2010, 27(6):1197-1201.
[10]  12. LAGUNA P, MARK R G, GOLDBERG A, et al. A database for evaluation of algorithms for measurement of QT and other waveform intervals in the ECG[J]. Computers in Cardiology, 1997, 24:673-676.
[11]  6. 江依法, 周青, 陈伟燕.一种改进的模板匹配算法及其在ECG波形识别中的应用[J].中国生物医学工程学报, 2012, 31(5):775-780.
[12]  8. MARTíNEZ J P, ALMEIDA R, OLMOS S, et al. A wavelet-based ECG delineator:evaluation on standard databases[J]. IEEE Trans Biomed Eng, 2004, 51(4):570-581.
[13]  13. K?HLER B U, HENNIG C, ORGLMEISTER R. The principles of software QRS detection[J]. IEEE Eng Med Biol Mag, 2002, 21(1):42-57.

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